BLOQ: Impute and Analyze Data with Observations Below the Limit of
Quantification

Methods for non-compartmental
pharmacokinetic analysis with observations below the
limit of quantification (BLOQ) are implemented as
described in Barnett, Helen Yvette.
"Optimizing pharmacokinetic studies utilizing
microsampling." PhD diss., Lancaster University, 2017.
(available online:
<http://eprints.lancs.ac.uk/89163/1/2017barnettphd.pdf>).
It includes estimating the area under the concentrations
versus time curve (AUC) and its standard error using two
approaches: direct estimation using censored maximum
likelihood, also by first imputing the BLOQ's
using various methods, then compute AUC and its standard
error using imputed data.